Principal Data Scientist

Wasl
Dubai
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 7-10 yearsEducation: bachelorsSkills: ["Analytical","Problem-solving","Stakeholder management","Communication","Mentorship","Technical leadership"]

Serve as the technical authority for advanced analytics and data science in Property Management. Lead end-to-end machine learning, AI, statistical, and predictive analytics—from designing and validating models and scalable data products to deploying them into business processes. Translate complex requirements into measurable solutions, define standards and KPIs for model/data quality and business impact, and provide technical guidance and mentorship to data science practitioners. Collaborate across IT and business teams while supporting data governance, security, privacy, and regulatory needs.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Wasl
Wasl
15 hours ago

Principal Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Serve as the technical authority for advanced analytics and data science in Property Management. Lead end-to-end machine learning, AI, statistical, and predictive analytics—from designing and validating models and scalable data products to deploying them into business processes. Translate complex requirements into measurable solutions, define standards and KPIs for model/data quality and business impact, and provide technical guidance and mentorship to data science practitioners. Collaborate across IT and business teams while supporting data governance, security, privacy, and regulatory needs.
Location: Dubai
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead the design, development, validation, and deployment of advanced machine learning, AI, statistical, and predictive analytics solutions.
  • •Develop scalable data products to support operational and strategic decision-making for Property Management.
  • •Translate complex business requirements into analytical frameworks, models, and measurable data science solutions.
  • •Establish technical standards for model development, validation, coding, documentation, and analytical quality, including data and model quality controls.
  • •Provide technical guidance and mentorship to data scientists and analytics professionals and translate analytical outputs into clear business insights and recommendations.

Key Requirements

  • •Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Economics, Mathematics, or a related discipline.
  • •7–10 years of relevant data science and advanced analytics experience, including 3–5 years in a senior technical leadership or managerial capacity.
  • •Strong track record in applied machine learning, predictive analytics, statistical modelling, and delivering production-grade data products.
  • •Advanced proficiency in Python, R, SQL (or comparable analytical/programming technologies).
  • •Experience leading complex data science initiatives across multiple business areas, including model validation, data quality, scalability, and integration into business environments.
Experience:7-10 yearsProperty managementReal estateAsset managementMarketing analyticsMachine learning
Education:Bachelor's in Data Science, Statistics, Computer Science, Engineering, Economics, Mathematics (or related discipline)
Skills:AnalyticalProblem-solvingStakeholder managementCommunicationMentorshipTechnical leadership
Tech Stack:PythonRSQLJiraCloud analyticsMLOpsGenerative AIMachine learningAIPredictive analyticsData visualization

Company Brief

Wasl
Wasl is a Dubai-based real estate developer and asset manager owning, developing and managing residential, commercial, retail, logistics and hospitality properties across the Emirate, focused on long-term property management and urban development.
Industry: Real Estate Development
Company Size: Enterprise (1,001+ employees)
Growth: Government & Public Sector
Funding: Government Funded
Headquarters: Dubai, United Arab Emirates
Founded: 2008
WebsiteLinkedIn